Getty Realty Corp /Md/ (GTY) Total Revenue (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Total Revenue (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.05 Mn |
| Mar 31, 2026 | 57.84 Mn |
| Dec 31, 2025 | 60.55 Mn |
| Sep 30, 2025 | 55.59 Mn |
| Jun 30, 2025 | 53.26 Mn |
| Mar 31, 2025 | 52.33 Mn |
| Dec 31, 2024 | 53.02 Mn |
| Sep 30, 2024 | 51.47 Mn |
| Jun 30, 2024 | 49.94 Mn |
| Mar 31, 2024 | 48.97 Mn |
| Dec 31, 2023 | 47.64 Mn |
| Sep 30, 2023 | 50.49 Mn |
| Jun 30, 2023 | 44.70 Mn |
| Mar 31, 2023 | 43.02 Mn |
| Dec 31, 2022 | 43.12 Mn |
| Sep 30, 2022 | 41.97 Mn |
| Jun 30, 2022 | 41.18 Mn |
| Mar 31, 2022 | 39.32 Mn |
| Dec 31, 2021 | 39.35 Mn |
| Sep 30, 2021 | 40.10 Mn |
API Access
Getty Realty Corp /Md/ Total Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-revenue", "ticker": "GTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();